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Classification of Dementia Based on Over-Sampling Approach and Decision Tree

Published: 09 March 2018 Publication History

Abstract

The problem of population aging in Taiwan is getting worse, the diseases of elderly patients are considered as an important issue. Dementia, one of brain diseases for elderly people, is a degeneration of brain. The main symptom of Dementia is the deterioration of memory and some cognitive functions, which eventually leads to the complete loss of mental function and death. Dementia will not only seriously affect the normal life, but also cause great burdens on relatives and society. Eventually, patients will completely lose mental functions. Therefore, diagnosis and treatment of dementia will be an important issue in medical research.
The data were obtained from medical center based on the Cognitive Abilities Screening Instrument (CASI) test. Data discretization and Synthetic minority over-sampling technique were used to pre-processing this data. Then, Classification and Regression Tree (CART) and Chi-Square Automatic Interaction Detector (CHAID) tree-based algorithms were used to classify this data. As the result of decision tree, age is an important factor which affects brain diseases for elderly people.

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  • (2021)The Role of Big Data in Aging and Older People’s Health Research: A Systematic Review and Ecological FrameworkSustainability10.3390/su13211158713:21(11587)Online publication date: 20-Oct-2021
  • (2020)Prediction Model of Dementia Risk Based on XGBoost Using Derived Variable Extraction and Hyper Parameter OptimizationIEEE Access10.1109/ACCESS.2020.30255538(177708-177720)Online publication date: 2020

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  1. Classification of Dementia Based on Over-Sampling Approach and Decision Tree

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    cover image ACM Other conferences
    ICBDE '18: Proceedings of the 2018 International Conference on Big Data and Education
    March 2018
    146 pages
    ISBN:9781450363587
    DOI:10.1145/3206157
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • University of Florida: University of Florida

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    Published: 09 March 2018

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    Author Tags

    1. CHAID
    2. Data mining
    3. Decision tree
    4. Dementia
    5. R language
    6. Weka

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    • (2021)The Role of Big Data in Aging and Older People’s Health Research: A Systematic Review and Ecological FrameworkSustainability10.3390/su13211158713:21(11587)Online publication date: 20-Oct-2021
    • (2020)Prediction Model of Dementia Risk Based on XGBoost Using Derived Variable Extraction and Hyper Parameter OptimizationIEEE Access10.1109/ACCESS.2020.30255538(177708-177720)Online publication date: 2020

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